Lazy -containers -bytestring
This module presents an identical interface to Control.Monad.ST, except that the monad delays evaluation of state operations until a value depending on them is required.
Mutable references in the lazy ST monad.
Lazy RWS monad.
Inspired by the paper Functional Programming with Overloading and Higher-Order Polymorphism, Mark P Jones (http://web.cecs.pdx.edu/~mpj/) Advanced School of Functional Programming, 1995.
Lazy state monads.
This module is inspired by the paper Functional Programming with Overloading and Higher-Order Polymorphism, Mark P Jones (http://web.cecs.pdx.edu/~mpj/) Advanced School of Functional Programming, 1995.
A monad transformer that combines ReaderT, WriterT and StateT. This version is lazy; for a strict version, see Control.Monad.Trans.RWS.Strict, which has the same interface.
Lazy state monads, passing an updatable state through a computation. See below for examples.
In this version, sequencing of computations is lazy. For a strict version, see Control.Monad.Trans.State.Strict, which has the same interface.
Some computations may not require the full power of state transformers:
* For a read-only state, see Control.Monad.Trans.Reader.
* To accumulate a value without using it on the way, see Control.Monad.Trans.Writer.
The lazy WriterT monad transformer, which adds collection of outputs (such as a count or string output) to a given monad.
This version builds its output lazily; for a strict version, see Control.Monad.Trans.Writer.Strict, which has the same interface.
This monad transformer provides only limited access to the output during the computation. For more general access, use Control.Monad.Trans.State instead.
A time and space-efficient implementation of Unicode text using lists of packed arrays.
Note: Read below the synopsis for important notes on the use of this module.
The representation used by this module is suitable for high performance use and for streaming large quantities of data. It provides a means to manipulate a large body of text without requiring that the entire content be resident in memory.
Some operations, such as concat, append, reverse and cons, have better time complexity than their Data.Text equivalents, due to the underlying representation being a list of chunks. For other operations, lazy Texts are usually within a few percent of strict ones, but often with better heap usage if used in a streaming fashion. For data larger than available memory, or if you have tight memory constraints, this module will be the only option.
This module is intended to be imported qualified, to avoid name clashes with Prelude functions. eg.
> import qualified Data.Text.Lazy as L
This module provides access to the BSD socket interface. This module is generally more efficient than the String based network functions in Socket. For detailed documentation, consult your favorite POSIX socket reference. All functions communicate failures by converting the error number to IOError.
This module is made to be imported with Socket like so:
> import Network.Socket hiding (send, sendTo, recv, recvFrom)
> import Network.Socket.ByteString.Lazy
> import Prelude hiding (getContents)
Make lazy ByteStrings an instance of Stream with Char token type.
Make Text an instance of Stream with Char token type.
This provides Lazy instances for RegexMaker and RegexLike based on Text.Regex.Posix.Wrap, and a (RegexContext Regex ByteString ByteString) instance.
To use these instance, you would normally import Text.Regex.Posix. You only need to import this module to use the medium level API of the compile, regexec, and execute functions. All of these report error by returning Left values instead of undefined or error or fail.
A Lazy ByteString with more than one chunk cannot be be passed to the library efficiently (as a pointer). It will have to converted via a full copy to a temporary normal bytestring (with a null byte appended if necessary).
LazyVault is a sandboxing tool to install libraries and executables with a sandboxed environment. At the moment it's only supported under Unix or Gnu Systems. This package has only been tested under Gnu/Linux however. This program creates cabal sandboxes which you can use globally. For a detailed explaination on how this works refer to the README file found on the github page.
The call '(lazy e)' means the same as e, but lazy has a magical strictness property: it is lazy in its first argument, even though its semantics is strict.
Convert a lazy ST computation into a strict one.
The CSV format is defined by RFC 4180. These efficient lazy parsers (String and ByteString variants) can report all CSV formatting errors, whilst also returning all the valid data, so the user can choose whether to continue, to show warnings, or to halt on error. Valid fields retain information about their original location in the input, so a secondary parser from textual fields to typed values can give intelligent error messages.
The library provides some basic but useful lazy IO functions. Keep in mind that lazy IO is generally discouraged. Perhaps a coroutine library (e.g. pipes) will better suit your needs.
This package built on standard array package adds support for lazy monolithic arrays. Such arrays are lazy not only in their values, but in their indexes as well. Read the paper "Efficient Graph Algorithms Using Lazy Monolithic Arrays" (http://citeseer.ist.psu.edu/95126.html) for further details.
lazyBufferOp is the BufferOp definition over ByteStrings, the non-strict kind.
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